Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time

Autores
Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica; González, Sergio Alberto; Lew, Sergio Eduardo; Zimmer, Patricia Andrea; López Arias, Ludmila Sol; Rodriguez, Jose L.; Rodriguez, Sonia Y.; Frutos, Roger; Wilkowsky, Silvina Elizabeth; Farber, Marisa Diana
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Bovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of seven genes: dnaA, ftsZ, groEl, lipA, recA, secY and sucB. Five annotated genomes (Saint Maries, Florida, Mississippi, Puerto Rico and Virginia) and 53 bovine blood samples from different world regions were analyzed. High nucleotide diversity and a large proportion of synonymous substitutions, indicative of negative selection resulted from DnaSP 5.00.02 package application. Recombination events were detected in almost all genes, this evidence together with the coexistence of more than one A. marginale strain in the same sample might suggest the superinfection phenomena as a potential source of variation. The allelic profile analysis performed through GoeBURST shown two main CC that did not support geography. In addition, the AMOVA test confirmed the occurrence of at least two main genetically divergent groups. The composition of the emergent groups reflected the impact of both historical and environmental traits on A. marginale population structure. Finally, a web-based platform "Galaxy MLST-Pipeline" was developed to automate DNA sequence editing and data analysis that together with the Data Base are freely available to users.The A. marginale MLST scheme developed here is a valuable tool with a high discrimination power, besides PCR based strategies are still the better choice for epidemiological intracellular pathogens studies. Finally, the allelic profile describe herein would contribute to uncover the mechanisms in how intracellular pathogens challenge virulence paradigm.
Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ruybal, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina
Fil: Lia, Verónica. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina
Fil: Zimmer, Patricia Andrea. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Corrientes. Estación Experimental Agropecuaria Mercedes; Argentina
Fil: López Arias, Ludmila Sol. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Rodriguez, Jose L.. Corporación Colombiana de Investigación Agropecuaria; Colombia
Fil: Rodriguez, Sonia Y.. Corporación Colombiana de Investigación Agropecuaria; Colombia
Fil: Frutos, Roger. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia
Fil: Wilkowsky, Silvina Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Materia
Anaplasma Marginale
Mlst
Molecular Epidemiology
Population Structure
Tick-Borne Diseases
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/38982

id CONICETDig_59de36d499e49048ba35fd9a54633eb5
oai_identifier_str oai:ri.conicet.gov.ar:11336/38982
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and timeGuillemi, Eliana CarolinaRuybal, PaulaLia, VerónicaGonzález, Sergio AlbertoLew, Sergio EduardoZimmer, Patricia AndreaLópez Arias, Ludmila SolRodriguez, Jose L.Rodriguez, Sonia Y.Frutos, RogerWilkowsky, Silvina ElizabethFarber, Marisa DianaAnaplasma MarginaleMlstMolecular EpidemiologyPopulation StructureTick-Borne Diseaseshttps://purl.org/becyt/ford/4.3https://purl.org/becyt/ford/4Bovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of seven genes: dnaA, ftsZ, groEl, lipA, recA, secY and sucB. Five annotated genomes (Saint Maries, Florida, Mississippi, Puerto Rico and Virginia) and 53 bovine blood samples from different world regions were analyzed. High nucleotide diversity and a large proportion of synonymous substitutions, indicative of negative selection resulted from DnaSP 5.00.02 package application. Recombination events were detected in almost all genes, this evidence together with the coexistence of more than one A. marginale strain in the same sample might suggest the superinfection phenomena as a potential source of variation. The allelic profile analysis performed through GoeBURST shown two main CC that did not support geography. In addition, the AMOVA test confirmed the occurrence of at least two main genetically divergent groups. The composition of the emergent groups reflected the impact of both historical and environmental traits on A. marginale population structure. Finally, a web-based platform "Galaxy MLST-Pipeline" was developed to automate DNA sequence editing and data analysis that together with the Data Base are freely available to users.The A. marginale MLST scheme developed here is a valuable tool with a high discrimination power, besides PCR based strategies are still the better choice for epidemiological intracellular pathogens studies. Finally, the allelic profile describe herein would contribute to uncover the mechanisms in how intracellular pathogens challenge virulence paradigm.Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ruybal, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; ArgentinaFil: Lia, Verónica. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; ArgentinaFil: Zimmer, Patricia Andrea. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Corrientes. Estación Experimental Agropecuaria Mercedes; ArgentinaFil: López Arias, Ludmila Sol. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Rodriguez, Jose L.. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Rodriguez, Sonia Y.. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Frutos, Roger. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; FranciaFil: Wilkowsky, Silvina Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaElsevier Science2015-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/38982Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica; González, Sergio Alberto; Lew, Sergio Eduardo; et al.; Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time; Elsevier Science; Infection, Genetics and Evolution; 30; 3-2015; 186-1941567-1348CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1567134814004833info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2014.12.027info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:36:02Zoai:ri.conicet.gov.ar:11336/38982instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:36:02.485CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
title Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
spellingShingle Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
Guillemi, Eliana Carolina
Anaplasma Marginale
Mlst
Molecular Epidemiology
Population Structure
Tick-Borne Diseases
title_short Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
title_full Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
title_fullStr Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
title_full_unstemmed Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
title_sort Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time
dc.creator.none.fl_str_mv Guillemi, Eliana Carolina
Ruybal, Paula
Lia, Verónica
González, Sergio Alberto
Lew, Sergio Eduardo
Zimmer, Patricia Andrea
López Arias, Ludmila Sol
Rodriguez, Jose L.
Rodriguez, Sonia Y.
Frutos, Roger
Wilkowsky, Silvina Elizabeth
Farber, Marisa Diana
author Guillemi, Eliana Carolina
author_facet Guillemi, Eliana Carolina
Ruybal, Paula
Lia, Verónica
González, Sergio Alberto
Lew, Sergio Eduardo
Zimmer, Patricia Andrea
López Arias, Ludmila Sol
Rodriguez, Jose L.
Rodriguez, Sonia Y.
Frutos, Roger
Wilkowsky, Silvina Elizabeth
Farber, Marisa Diana
author_role author
author2 Ruybal, Paula
Lia, Verónica
González, Sergio Alberto
Lew, Sergio Eduardo
Zimmer, Patricia Andrea
López Arias, Ludmila Sol
Rodriguez, Jose L.
Rodriguez, Sonia Y.
Frutos, Roger
Wilkowsky, Silvina Elizabeth
Farber, Marisa Diana
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anaplasma Marginale
Mlst
Molecular Epidemiology
Population Structure
Tick-Borne Diseases
topic Anaplasma Marginale
Mlst
Molecular Epidemiology
Population Structure
Tick-Borne Diseases
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.3
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Bovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of seven genes: dnaA, ftsZ, groEl, lipA, recA, secY and sucB. Five annotated genomes (Saint Maries, Florida, Mississippi, Puerto Rico and Virginia) and 53 bovine blood samples from different world regions were analyzed. High nucleotide diversity and a large proportion of synonymous substitutions, indicative of negative selection resulted from DnaSP 5.00.02 package application. Recombination events were detected in almost all genes, this evidence together with the coexistence of more than one A. marginale strain in the same sample might suggest the superinfection phenomena as a potential source of variation. The allelic profile analysis performed through GoeBURST shown two main CC that did not support geography. In addition, the AMOVA test confirmed the occurrence of at least two main genetically divergent groups. The composition of the emergent groups reflected the impact of both historical and environmental traits on A. marginale population structure. Finally, a web-based platform "Galaxy MLST-Pipeline" was developed to automate DNA sequence editing and data analysis that together with the Data Base are freely available to users.The A. marginale MLST scheme developed here is a valuable tool with a high discrimination power, besides PCR based strategies are still the better choice for epidemiological intracellular pathogens studies. Finally, the allelic profile describe herein would contribute to uncover the mechanisms in how intracellular pathogens challenge virulence paradigm.
Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ruybal, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina
Fil: Lia, Verónica. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentina
Fil: Zimmer, Patricia Andrea. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Corrientes. Estación Experimental Agropecuaria Mercedes; Argentina
Fil: López Arias, Ludmila Sol. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Rodriguez, Jose L.. Corporación Colombiana de Investigación Agropecuaria; Colombia
Fil: Rodriguez, Sonia Y.. Corporación Colombiana de Investigación Agropecuaria; Colombia
Fil: Frutos, Roger. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Francia
Fil: Wilkowsky, Silvina Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
description Bovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of seven genes: dnaA, ftsZ, groEl, lipA, recA, secY and sucB. Five annotated genomes (Saint Maries, Florida, Mississippi, Puerto Rico and Virginia) and 53 bovine blood samples from different world regions were analyzed. High nucleotide diversity and a large proportion of synonymous substitutions, indicative of negative selection resulted from DnaSP 5.00.02 package application. Recombination events were detected in almost all genes, this evidence together with the coexistence of more than one A. marginale strain in the same sample might suggest the superinfection phenomena as a potential source of variation. The allelic profile analysis performed through GoeBURST shown two main CC that did not support geography. In addition, the AMOVA test confirmed the occurrence of at least two main genetically divergent groups. The composition of the emergent groups reflected the impact of both historical and environmental traits on A. marginale population structure. Finally, a web-based platform "Galaxy MLST-Pipeline" was developed to automate DNA sequence editing and data analysis that together with the Data Base are freely available to users.The A. marginale MLST scheme developed here is a valuable tool with a high discrimination power, besides PCR based strategies are still the better choice for epidemiological intracellular pathogens studies. Finally, the allelic profile describe herein would contribute to uncover the mechanisms in how intracellular pathogens challenge virulence paradigm.
publishDate 2015
dc.date.none.fl_str_mv 2015-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/38982
Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica; González, Sergio Alberto; Lew, Sergio Eduardo; et al.; Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time; Elsevier Science; Infection, Genetics and Evolution; 30; 3-2015; 186-194
1567-1348
CONICET Digital
CONICET
url http://hdl.handle.net/11336/38982
identifier_str_mv Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica; González, Sergio Alberto; Lew, Sergio Eduardo; et al.; Development of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and time; Elsevier Science; Infection, Genetics and Evolution; 30; 3-2015; 186-194
1567-1348
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1567134814004833
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2014.12.027
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083484813099008
score 13.22299